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Kangcheng Lin
Kangcheng Lin
Verified email at illinois.edu
Title
Cited by
Cited by
Year
An interpretable model with globally consistent explanations for credit risk
C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang
arXiv preprint arXiv:1811.12615, 2018
1242018
A holistic approach to interpretability in financial lending: Models, visualizations, and summary-explanations
C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang
Decision Support Systems 152, 113647, 2022
722022
A simple rotational equivariance loss for generic convolutional segmentation networks: Preliminary results
K Lin, B Huang, LM Collins, K Bradbury, JM Malof
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
82019
An interpretable model with globally consistent explanations for credit risk. arXiv
C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang
arXiv preprint arXiv:1811.12615, 2018
72018
An interpretable model with globally consistent explanations for credit risk (2018)
C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang
arXiv preprint arXiv:1811.12615, 1811
71811
An Interpretable Model with Globally Consistent Explanations for Credit Risk. arXiv 2018
C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang
arXiv preprint arXiv:1811.12615, 1811
71811
An automated data-driven approach for product design strategies to respond to market disruption following COVID-19
S Park, K Lin, J Joung, H Kim
Journal of Mechanical Design 147 (3), 031402, 2025
42025
Investigate Customer Preferences Using Online Video Reviews-Preliminary Results
K Lin, H Kim
International Design Engineering Technical Conferences and Computers and …, 2023
32023
Investigation of customer preference changes following covid-19 market disruption using online review analysis
S Park, K Lin, J Joung, H Kim
Proceedings of the Design Society 3, 2375-2384, 2023
32023
Investigate the influence of online ratings and reviews in purchase behavior using customer choice sets
K Lin, HM Kim
International Design Engineering Technical Conferences and Computers and …, 2021
32021
An automated method to conduct importance-performance analysis of product attributes from online reviews-An extension with a case study
K Lin, H Kim
Proceedings of the Design Society 1, 417-426, 2021
32021
An explainable model for credit risk performance
C Chen, K Lin, C Rudin, Y Shaposhnik, S Wang, T Wang
Explainable Machine Learning Challenge documentation, 2018
32018
Pi-GenAI: Personality-Incorporated Generative AI for Design Concept Evaluation
S Park, K Lin, H Kim
International Design Engineering Technical Conferences and Computers and …, 2025
2025
Unlocking product ecosystem insights: analyzing customer sentiment and interoperability through video reviews
K Lin, H Kim
Proceedings of the Design Society 5, 3321-3330, 2025
2025
DETC2025-168787
S Park, K Lin, H Kim
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Articles 1–15